This study reviews the methodologies used in the literature to predict failure in small and
medium-sized enterprises (SMEs). We identified 145 SMEs' default prediction studies from …

This scholarly exploration delves into the dynamic intersection of machine learning (ML) and
tax prediction, a realm where the fusion of advanced computational techniques and fiscal …

This paper develops ensemble machine learning models (XGBoost, Gradient Boosting, and
AdaBoost in addition to Random Forest) for predicting stock returns of Indian banks using …

This article presents a comparative analysis of machine learning models for business failure
prediction. Bankruptcy prediction is crucial in assessing financial risks and making informed …

Over the past century, bankruptcy prediction has dominated economics headlines and
continues to do so. An efficient way to deal with bankruptcy is to develop models that …

Financial companies are grappling with a burning issue about bankruptcy prediction. There
are many methods for bankruptcy prediction, including statistical models and machine …

In the last years, the financial sector has seen an increase in the use of machine learning
models in banking and insurance contexts. Advanced analytic teams in the financial …

This study represents how firms can be prevented to become bankrupt by adopting the best
bankruptcy prediction model and thus taking corrective action in order to avoid the firm from …

This research looked at the deep learning applications in economics, econometrics, and
finance. Two hundred fifty articles from the Scopus database's index of journals published …

The prediction of bankruptcy risk poses a formidable challenge in the fields of economics
and finance, particularly within the healthcare industry, where it carries significant economic …